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The impacts of mining exploitation on the environment in the Changchun-Jilin-Tumen economic area, Northeast China

机译:东北长春-吉林-图们经济区的矿业开发对环境的影响

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The Changchun-Jilin-Tumen economic area is the center of the Old Northeastern Industrial Base with substantial mineral resource in Northeast China. Historical mining exploitation has caused extensive impact on environment. The objective of this study was to quantitatively evaluate the impact induced by mining activities in 106 mining sites and then find out the most significant factors contributing to the environmental damage. The affected environment components were divided into fifteen impacting factors, and environmental assessment was performed by using developed Folchi methods which was combined with adaptive Takagi-Sugeno fuzzy neural network (TSFNN). Correspondence analysis was adopted to explore the effects of the impacting factor on mining environment. Through the comparison with Improved Analytic Hierarchy Process, 96.23 % of evaluation results are the same. Our results showed that TSFNN model can effectively assess impacts of mining exploitation in three categories: slight, moderate, and heavy. The assessment result shows that 64.15 % mining sites are moderately damaged, while 7.5 % are heavily damaged. For all factors studied, environmental geological problem is the dominant factor in Environmental Impact Assessment, accounting for 56.67 % of the weight-wise including geological disasters, environmental pollution, and resources destruction. The anthropic factor exerts a more considerable influence on environment than natural factor. With mining exploitation, geological disaster is the main threat to the mountains in southeast, but environmental pollution and resources destruction are the main threats to the central plains. The assessment and analysis results can provide useful insights in the decision-making process for national authorities in the prioritization of environmental remediation and protection.
机译:长春-吉林-图们经济区是东北老工业基地的中心,东北拥有大量矿产资源。历史上的采矿开采已对环境造成了广泛影响。这项研究的目的是定量评估106个矿山中采矿活动所引起的影响,然后找出造成环境破坏的最重要因素。将受影响的环境成分分为15个影响因素,并使用发达的Folchi方法与自适应Takagi-Sugeno模糊神经网络(TSFNN)相结合进行环境评估。采用对应关系分析法探讨影响因素对采矿环境的影响。通过与改进的层次分析法进行比较,有96.23%的评估结果是相同的。我们的结果表明,TSFNN模型可以有效评估采矿开采的影响,分为三类:轻度,中度和重度。评估结果表明,有64.15%的矿区受到了中等程度的破坏,而有7.5%的矿场受到了严重破坏。就所有研究因素而言,环境地质问题是环境影响评估中的主要因素,占地质灾害,环境污染和资源破坏等权重的56.67%。人为因素比自然因素对环境的影响更大。在采矿业中,地质灾害是对东南山区的主要威胁,而环境污染和资源破坏是对中原的主要威胁。评估和分析结果可为国家主管部门在优先考虑环境修复和保护方面的决策过程提供有用的见解。

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